Non-Volatile Storage With Temperature Compensation Based On Neighbor State Information

ABSTRACT

Data is programmed into and read from a set of target memory cells. When reading the data, temperature compensation is provided. The temperature compensation is based on temperature information and the state of one or more neighbor memory cells. In one embodiment, when data is read from set of target memory cells, the system senses the current temperature and determines the differences in temperature between the current temperature and the temperature at the time the data was programmed. If the difference in temperature is greater than a threshold, then the process of reading the data includes providing temperature compensation based on temperature information and neighbor state information. In one alternative, the decision to provide the temperature compensation can be triggered by conditions other than a temperature differential.

BACKGROUND OF THE INVENTION

1. Field

The present invention relates to non-volatile storage.

2. Description of the Related Art

Semiconductor memory devices have become more popular for use in variouselectronic devices. For example, non-volatile semiconductor memory isused in cellular telephones, digital cameras, personal digitalassistants, mobile computing devices, non-mobile computing devices andother devices. Electrical Erasable Programmable Read Only Memory(EEPROM) and flash memory are among the most popular non-volatilesemiconductor memories.

Both EEPROM and flash memory utilize a floating gate that is positionedabove and insulated from a channel region in a semiconductor substrate.The floating gate is positioned between source and drain regions. Acontrol gate is provided over and insulated from the floating gate. Thethreshold voltage of the transistor is controlled by the amount ofcharge that is retained on the floating gate. That is, the minimumamount of voltage that must be applied to the control gate before thetransistor is turned on to permit conduction between its source anddrain is controlled by the level of charge on the floating gate.

When programming an EEPROM or flash memory device, typically a programvoltage is applied to the control gate and the bit line is grounded.Electrons from the channel are injected into the floating gate. Whenelectrons accumulate in the floating gate, the floating gate becomesnegatively charged and the threshold voltage of the memory cell israised so that the memory cell is in the programmed state. Moreinformation about programming can be found in U.S. Pat. No. 6,859,397,titled “Source Side Self Boosting Technique For Non-Volatile Memory;”and in U.S. Pat. No. 6,917,542, titled “Detecting Over ProgrammedMemory,” both patents are incorporated herein by reference in theirentirety.

Some EEPROM and flash memory devices have a floating gate that is usedto store two ranges of charges and, therefore, the memory cell can beprogrammed/erased between two states, an erased state and a programmedstate that correspond to data “1” and data “0.” Such a device isreferred to as a binary device.

A multi-state flash memory cell is implemented by identifying multiple,distinct allowed threshold voltage ranges. Each distinct thresholdvoltage range corresponds to a predetermined value for the set of databits. The specific relationship between the data programmed into thememory cell and the threshold voltage ranges of the cell depends uponthe data encoding scheme adopted for the memory cells. For example, U.S.Pat. No. 6,222,762 and U.S. Patent Application Publication No.2004/0255090, both of which are incorporated herein by reference intheir entirety, describe various data encoding schemes for multi-stateflash memory cells.

It has been observed that the operation and behavior of integratedcircuits, including non-volatile storage systems implemented on anintegrated circuit, can be effected by temperature. Prior memory systemsdo compensate for temperature by adjusting read/verify compare levels,bit line currents, sense amps, control gate voltages on select gates,and body bias conditions based on temperature. Some systems use atemperature compensation coefficient referred to as TCO. In oneembodiment, TCO indicates how much the threshold voltage of the memorycell changes per degree Celsius temperature change. The unit per TCO ismillivolts per degree Celsius. A typical example TCO is −3 millivoltsper degree Celsius. Some prior devices may also use advanced controllertechniques to optimize the read levels by dynamically measuring thethreshold voltage distributions and updating read compare levels basedon the measures threshold voltage distributions.

As device sizes get smaller, there is an even greater need to compensatefor temperature.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1A is a graph depicting a threshold voltage distribution.

FIG. 1 is a top view of a NAND string.

FIG. 2 is an equivalent circuit diagram of the NAND string.

FIG. 3 is a block diagram of a non-volatile memory system.

FIG. 4 is a block diagram depicting one embodiment of a memory array.

FIG. 5 is a block diagram depicting one embodiment of a sense block.

FIG. 6 depicts an example set of threshold voltage distributions anddepicts an example programming process.

FIG. 7 depicts an example set of threshold voltage distributions anddepicts an example programming process.

FIGS. 8A-8C depict examples of threshold voltage distributions and anexample programming process.

FIG. 9 is a table showing one example of a relationship betweenthreshold voltage distributions and data stored in memory cells.

FIGS. 10A-10D depict examples of threshold voltage distributions and anexample programming process.

FIG. 11 is a flow chart describing one embodiment of a process foroperating non-volatile storage.

FIG. 12 is a flow chart describing one embodiment of a process forprogramming non-volatile storage.

FIG. 13 is a flow chart describing one embodiment of a process forperforming programming operations for non-volatile storage.

FIG. 14 is a flow chart describing one embodiment of a process forreading data from non-volatile storage.

FIG. 15 is a flow chart describing one embodiment of a process forreading data from non-volatile storage.

FIG. 16 is a flow chart describing one embodiment of a process forencoding and decoding data that is stored in non-volatile storage.

FIG. 17 depicts an example LRR table.

FIG. 18 is a flow chart describing one embodiment of a process forreading data from non-volatile storage.

FIG. 19 depicts overlapping threshold voltage ranges.

FIG. 20 depicts an example LRR table.

FIG. 21 is a flow chart describing one embodiment of a process forproviding compensation as part of a read process.

FIG. 22 is a flow chart describing one embodiment of a process forreading data from non-volatile storage.

FIG. 23 is a flow chart describing one embodiment of a process forreading data from non-volatile storage.

DETAILED DESCRIPTION

The effect that temperature has on the behavior and operation of a givenmemory cell varies based on the conditions of the memory cells that areadjacent to or nearby the given memory cell. Therefore, it is proposedto provide temperature compensation that is based on temperature as wellas the condition (or state) of one or more neighbor memory cells.

FIG. 1A provides an example of how temperature and temperaturedifferences between the time of programming and the time of reading cancause a shift and widening of the threshold voltage (Vt) distributions.The Vt distribution A, is the Vt distribution obtained directly afterprogramming at a relatively high temperature. The Vt distribution A has,in this example, a width of about 0.6V at a 10-bit upper and lower taillevel. However, when the same Vt distribution is measured at a lowertemperature, then the Vt distribution shifts up and widens to form Vtdistribution D. The Vt distribution shifts up because the non-volatilestorage elements have a negative temperature coefficient (Tco). However,as there is variation in Tco between non-volatile storage elements, theVt distribution also widens. For example, non-volatile storage elementsin distribution C (which is a subset of the total set of non-volatilestorage elements in distribution D) have a larger Tco than non-volatilestorage elements in distribution B. Both subsets B and C form togetherthe set of non-volatile storage elements D which consists of the samenon-volatile storage elements as distribution A. In this case, thedifference in Tco of non-volatile storage elements in distribution B andC is substantial and results thus in a significant Vt distributionwidening of about 0.2V in this example.

Such a large difference in Tco can occur in highly scaled non-volatilestorage elements in which there is close interaction between neighboringnon-volatile storage elements. It has been found that the Tco of anon-volatile storage element depends on the data that is stored inneighboring non-volatile storage elements. In particular, a large Tcooccurs when neighboring non-volatile storage elements are in asignificantly lower programmed (or erased) state than the targetnon-volatile storage element. The Tco of a non-volatile storage elementis small when the neighboring non-volatile storage elements areprogrammed to a similar or higher programmed state. By taking theknowledge of the programmed state of the neighboring non-volatilestorage elements into account, the Tco of the target non-volatilestorage element is more accurately known, and thus, a more accurate readoperation with adapted sense levels or other compensation techniques canbe applied based on the temperature difference between programming andread and based on neighboring non-volatile storage elements data state.

Data is programmed into and read from a set of target memory cells. Whenreading the data, temperature compensation is provided. The temperaturecompensation is based on temperature information and the state of one ormore neighbor memory cells. In one embodiment, when data is read from aset of target memory cells, the system senses the current temperatureand determines the difference in temperature between the currenttemperature and the temperature at the time the data was programmed. Ifthe difference in temperature is greater than a threshold, then theprocess of reading the data includes providing temperature compensationbased on temperature information and neighbor state information. In onealternative, the decision to provide the temperature compensation can betriggered by conditions other than a temperature differential.

One example of a non-volatile storage system that can be used toimplement the technology described herein is a flash memory system thatuses the NAND structure, which includes arranging multiple transistorsin series, sandwiched between two select gates. The transistors inseries and the select gates are referred to as a NAND string. FIG. 1 isa top view showing one NAND string. FIG. 2 is an equivalent circuitthereof. The NAND string depicted in FIGS. 1 and 2 includes fourtransistors 100, 102, 104 and 106 in series and sandwiched between afirst (drain side) select gate 120 and a second (source side) selectgate 122. Select gate 120 connects the NAND string to a bit line via bitline contact 126. Select gate 122 connects the NAND string to sourceline 128. Select gate 120 is controlled by applying the appropriatevoltages to select line SGD. Select gate 122 is controlled by applyingthe appropriate voltages to select line SGS. Each of the transistors100, 102, 104 and 106 has a control gate and a floating gate. Forexample, transistor 100 has control gate 100CG and floating gate 100FG.Transistor 102 includes control gate 102CG and a floating gate 102FG.Transistor 104 includes control gate 104CG and floating gate 104FG.Transistor 106 includes a control gate 106CG and a floating gate 106FG.Control gate 100CG is connected to word line WL3, control gate 102CG isconnected to word line WL2, control gate 104CG is connected to word lineWL1, and control gate 106CG is connected to word line WL0.

Note that although FIGS. 1 and 2 show four memory cells in the NANDstring, the use of four memory cells is only provided as an example. ANAND string can have less than four memory cells or more than fourmemory cells. For example, some NAND strings will include eight memorycells, 16 memory cells, 32 memory cells, 64 memory cells, 128 memorycells, etc. The discussion herein is not limited to any particularnumber of memory cells in a NAND string. One embodiment uses NANDstrings with 66 memory cells, where 64 memory cells are used to storedata and two of the memory cells are referred to as dummy memory cellsbecause they do not store data.

A typical architecture for a flash memory system using a NAND structurewill include several NAND strings. Each NAND string is connected to thecommon source line by its source select gate controlled by select lineSGS and connected to its associated bit line by its drain select gatecontrolled by select line SGD. Each bit line and the respective NANDstring(s) that are connected to that bit line via a bit line contactcomprise the columns of the array of memory cells. Bit lines are sharedwith multiple NAND strings. Typically, the bit line runs on top of theNAND strings in a direction perpendicular to the word lines and isconnected to a sense amplifier.

Relevant examples of NAND type flash memories and their operation areprovided in the following U.S. patents/patent applications, all of whichare incorporated herein by reference: U.S. Pat. No. 5,570,315; U.S. Pat.No. 5,774,397; U.S. Pat. No. 6,046,935; U.S. Pat. No. 6,456,528; andU.S. Pat. Publication No. US2003/0002348.

Other types of non-volatile storage devices, in addition to NAND flashmemory, can also be used. For example, non-volatile memory devices arealso manufactured from memory cells that use a dielectric layer forstoring charge. Instead of the conductive floating gate elementsdescribed earlier, a dielectric layer is used. Such memory devicesutilizing dielectric storage element have been described by Eitan etal., “NROM: A Novel Localized Trapping, 2-Bit Nonvolatile Memory Cell,”IEEE Electron Device Letters, vol. 21, no. 11, November 2000, pp.543-545. An ONO dielectric layer extends across the channel betweensource and drain diffusions. The charge for one data bit is localized inthe dielectric layer adjacent to the drain, and the charge for the otherdata bit is localized in the dielectric layer adjacent to the source.U.S. Pat. Nos. 5,768,192 and 6,011,725 disclose a non-volatile memorycell having a trapping dielectric sandwiched between two silicon dioxidelayers. Multi-state data storage is implemented by separately readingthe binary states of the spatially separated charge storage regionswithin the dielectric. Non-volatile storage based on MONOS or TANOStypes of structures or nanocrystals can also be used. Other types ofnon-volatile storage can also be used.

FIG. 3 illustrates a memory device 210 having read/write circuits forreading and programming a page (or other unit) of memory cells (e.g.,NAND multi-state flash memory) in parallel. Memory device 210 mayinclude one or more memory die or chips 212. Memory die (or integratedcircuit) 212 includes an array (two-dimensional or three dimensional) ofmemory cells 200, control circuitry 220, and read/write circuits 230Aand 230B. In one embodiment, access to the memory array 200 by thevarious peripheral circuits is implemented in a symmetric fashion, onopposite sides of the array, so that the densities of access lines andcircuitry on each side are reduced by half. The read/write circuits 230Aand 230B include multiple sense blocks 300 which allow a page of memorycells to be read or programmed in parallel. The memory array 200 isaddressable by word lines via row decoders 240A and 240B and by bitlines via column decoders 242A and 242B. Word lines and bit lines areexamples of control lines. In a typical embodiment, a controller 244 isincluded in the same memory device 210 (e.g., a removable storage cardor package) as the one or more memory die 212. Commands and data aretransferred between the host and controller 244 via lines 232 andbetween the controller and the one or more memory die 212 via lines 234.

Control circuitry 220 cooperates with the read/write circuits 230A and230B to perform memory operations on the memory array 200. The controlcircuitry 220 includes a state machine 222, an on-chip address decoder224, a power control module 226, and temperature sensor 228. The statemachine 222 provides chip-level control of memory operations. Theon-chip address decoder 224 provides an address interface between thatused by the host or a memory controller to the hardware address used bythe decoders 240A, 240B, 242A, and 242B. The power control module 226controls the power and voltages supplied to the word lines and bit linesduring memory operations. In one embodiment, power control module 226includes one or more charge pumps that can create voltages larger thanthe supply voltage. Control circuitry 220 provides address lines ADDR torow decoders 240A and 204B, as well as column decoders 242A and 242B.Column decoders 242A and 242B provide data to controller 244 via thesignal lines marked Data I/O. Temperature sensor 228 can be an analog ordigital temperature sensor known in the art.

In one embodiment, controller 244 is implemented on a different die (orintegrated circuit) than memory chip 212. In some embodiments, thecontroller 244 interfaces with the Host and with control circuitry 220as well as the decoders. In some embodiments, controller 244 interfaceswith the read/write circuits.

In one embodiment, one or any combination of control circuitry 220,power control circuit 226, decoder circuit 224, state machine circuit222, decoder circuit 242A, decoder circuit 242B, decoder circuit 240A,decoder circuit 240B, read/write circuits 230A, read/write circuits230B, temperature sensor 228 and/or controller 244 can be referred to asone or more managing circuits. The one or more managing circuits performthe processes described herein.

FIG. 4 depicts an exemplary structure of memory cell array 200. In oneembodiment, the array of memory cells is divided into a large number ofblocks (e.g., blocks 0-1023, or another amount of blocks) of memorycells. As is common for flash memory systems, the block is the unit oferase. That is, each block contains the minimum number of memory cellsthat are erased together. Other units of erase can also be used.

A block contains a set of NAND stings which are accessed via bit lines(e.g., bit lines BL0-BL69,623) and word lines (WL0, WL1, WL2, WL3). FIG.4 shows four memory cells connected in series to form a NAND string.Although four cells are shown to be included in each NAND string, moreor less than four can be used (e.g., 16, 32, 64, 128 or another numberor memory cells can be on a NAND string). One terminal of the NANDstring is connected to a corresponding bit line via a drain select gate(connected to select gate drain line SGD), and another terminal isconnected to the source line via a source select gate (connected toselect gate source line SGS).

Each block is typically divided into a number of pages. In oneembodiment, a page is a unit of programming. Other units of programmingcan also be used. One or more pages of data are typically stored in onerow of memory cells. For example, one or more pages of data may bestored in memory cells connected to a common word line. A page can storeone or more sectors. A sector includes user data and overhead data (alsocalled system data). A sector of user data is typically 512 bytes,corresponding to the size of a sector in magnetic disk drives. A largenumber of pages form a block, anywhere from 8 pages, for example, up to32, 64, 128 or more pages. Different sized blocks, pages and sectors canalso be used. Additionally, a block can have more or less than 69,624bit lines.

FIG. 5 is a block diagram of an individual sense block 300 partitionedinto a core portion, referred to as a sense module 480, and a commonportion 490. In one embodiment, there will be a separate sense module480 for each bit line and one common portion 490 for a set of multiplesense modules 480. In one example, a sense block will include one commonportion 490 and eight sense modules 480. Each of the sense modules in agroup will communicate with the associated common portion via a data bus472. One example can be found in U.S. Patent Application Publication2006/0140007, which is incorporated herein by reference in its entirety.

Sense module 480 comprises sense circuitry 470 that determines whether aconduction current in a connected bit line is above or below apredetermined level. In some embodiments, sense module 480 includes acircuit commonly referred to as a sense amplifier. Sense module 480 alsoincludes a bit line latch 482 that is used to set a voltage condition onthe connected bit line. For example, a predetermined state latched inbit line latch 482 will result in the connected bit line being pulled toa state designating program inhibit (e.g., Vdd) in order to lock outmemory cells from programming.

Common portion 490 comprises a processor 492, a set of data latches 494and an I/O Interface 496 coupled between the set of data latches 494 anddata bus 420. Processor 492 performs computations. For example, one ofits functions is to determine the data stored in the sensed memory celland store the determined data in the set of data latches. The set ofdata latches 494 is used to store data bits determined by processor 492during a read operation. It is also used to store data bits importedfrom the data bus 420 during a program operation. The imported data bitsrepresent write data meant to be programmed into the memory. I/Ointerface 496 provides an interface between data latches 494 and thedata bus 420.

During read or sensing, the operation of the system is under the controlof state machine 222 that controls (using power control 226) the supplyof different control gate voltages to the addressed memory cell(s). Asit steps through the various predefined control gate voltagescorresponding to the various memory states supported by the memory, thesense module 480 may trip at one of these voltages and an output will beprovided from sense module 480 to processor 492 via bus 472. At thatpoint, processor 492 determines the resultant memory state byconsideration of the tripping event(s) of the sense module and theinformation about the applied control gate voltage from the statemachine via input lines 493. It then computes a binary encoding for thememory state and stores the resultant data bits into data latches 494.In another embodiment of the core portion, bit line latch 482 servesdouble duty, both as a latch for latching the output of the sense module480 and also as a bit line latch as described above.

It is anticipated that some implementations will include multipleprocessors 492. In one embodiment, each processor 492 will include anoutput line (not depicted in FIG. 5) such that each of the output linesis wired-OR'd together. In some embodiments, the output lines areinverted prior to being connected to the wired-OR line. Thisconfiguration enables a quick determination during the programverification process of when the programming process has completedbecause the state machine receiving the wired-OR line can determine whenall bits being programmed have reached the desired level. For example,when each bit has reached its desired level, a logic zero for that bitwill be sent to the wired-OR line (or a data one is inverted). When allbits output a data 0 (or a data one inverted), then the state machineknows to terminate the programming process. In embodiments where eachprocessor communicates with eight sense modules, the state machine may(in some embodiments) need to read the wired-OR line eight times, orlogic is added to processor 492 to accumulate the results of theassociated bit lines such that the state machine need only read thewired-OR line one time.

Data latch stack 494 contains a stack of data latches corresponding tothe sense module. In one embodiment, there are three (or four or anothernumber) data latches per sense module 480. In one embodiment, thelatches are each one bit.

During program or verify, the data to be programmed is stored in the setof data latches 494 from the data bus 420. During the verify process,Processor 492 monitors the verified memory state relative to the desiredmemory state. When the two are in agreement, processor 492 sets the bitline latch 482 so as to cause the bit line to be pulled to a statedesignating program inhibit. This inhibits the memory cell coupled tothe bit line from further programming even if it is subjected toprogramming pulses on its control gate. In other embodiments theprocessor initially loads the bit line latch 482 and the sense circuitrysets it to an inhibit value during the verify process.

In some implementations (but not required), the data latches areimplemented as a shift register so that the parallel data stored thereinis converted to serial data for data bus 420, and vice versa. In onepreferred embodiment, all the data latches corresponding to theread/write block of memory cells can be linked together to form a blockshift register so that a block of data can be input or output by serialtransfer. In particular, the bank of read/write modules is adapted sothat each of its set of data latches will shift data in to or out of thedata bus in sequence as if they are part of a shift register for theentire read/write block.

Additional information about the sensing operations and sense amplifierscan be found in (1) United States Patent Application Pub. No.2004/0057287, “Non-Volatile Memory And Method With Reduced Source LineBias Errors,” published on Mar. 25, 2004; (2) United States PatentApplication Pub No. 2004/0109357, “Non-Volatile Memory And Method withImproved Sensing,” published on Jun. 10, 2004; (3) U.S. PatentApplication Pub. No. 20050169082; (4) U.S. Patent Publication2006/0221692, titled “Compensating for Coupling During Read Operationsof Non-Volatile Memory,” Inventor Jian Chen, filed on Apr. 5, 2005; and(5) U.S. Patent Application Publication No. 2006/0158947, titled“Reference Sense Amplifier For Non-Volatile Memory,” Inventors Siu LungChan and Raul-Adrian Cernea, filed on Dec. 28, 2005. All five of theimmediately above-listed patent documents are incorporated herein byreference in their entirety.

At the end of a successful programming process (with verification), thethreshold voltages of the memory cells should be within one or moredistributions of threshold voltages for programmed memory cells orwithin a distribution of threshold voltages for erased memory cells, asappropriate. FIG. 6 illustrates example threshold voltage distributions(corresponding to data states) for the memory cell array when eachmemory cell stores two bits of data. Other embodiments, however, may usemore or less than two bits of data per memory cell (e.g., such as three,or four or more bits of data per memory cell).

FIG. 6 shows a first threshold voltage distribution E for erased memorycells. Three threshold voltage distributions A, B and C for programmedmemory cells are also depicted. In one embodiment, the thresholdvoltages in the E distribution are negative and the threshold voltagesin the A, B and C distributions are positive. Each distinct thresholdvoltage distribution of FIG. 6 corresponds to predetermined values forthe set of data bits. The specific relationship between the dataprogrammed into the memory cell and the threshold voltage levels of thecell depends upon the data encoding scheme adopted for the cells. Forexample, U.S. Pat. No. 6,222,762 and U.S. Patent Application PublicationNo. 2004/0255090, both of which are incorporated herein by reference intheir entirety, describe various data encoding schemes for multi-stateflash memory cells. In one embodiment, data values are assigned to thethreshold voltage ranges using a Gray code assignment so that if thethreshold voltage of a floating gate erroneously shifts to itsneighboring physical state, only one bit will be affected. One exampleassigns “11” to threshold voltage range E (state E), “10” to thresholdvoltage range A (state A), “00” to threshold voltage range B (state B)and “01” to threshold voltage range C (state C). However, in otherembodiments, Gray code is not used. Although FIG. 6 shows four states,the present invention can also be used with other multi-state structuresincluding those that include more or less than four states.

FIG. 6 also shows three read reference voltages, Vra, Vrb and Vrc (alsocalled read compare levels/values), for reading data from memory cells.By testing whether the threshold voltage of a given memory cell is aboveor below Vra, Vrb and Vrc, the system can determine what state thememory cell is in. For example, if a memory cell has a threshold voltageless than Vra, it is assumed to be in state E. If a memory cell has athreshold voltage less than Vrb and greater than Vra, it is assumed tobe in state A. If a memory cell has a threshold voltage less than Vrcand greater than Vrb, it is assumed to be in state B. If a memory cellhas a threshold voltage greater than Vrc, it is assumed to be in stateC.

FIG. 6 also shows three verify reference voltages, Vva, Vvb and Vvc(also called verify compare values/levels). When programming memorycells to state A, the system will test whether those memory cells have athreshold voltage greater than or equal to Vva. When programming memorycells to state B, the system will test whether the memory cells havethreshold voltages greater than or equal to Vvb. When programming memorycells to state C, the system will determine whether memory cells havetheir threshold voltage greater than or equal to Vvc.

In one embodiment, known as full sequence programming, memory cells canbe programmed from the erase state E directly to any of the programmedstates A, B or C. For example, a population of memory cells to beprogrammed may first be erased so that all memory cells in thepopulation are in erased state E. Then, a programming process is used toprogram memory cells directly into states A, B or C. While some memorycells are being programmed from state E to state A, other memory cellsare being programmed from state E to state B and/or from state E tostate C.

FIG. 7 illustrates one example of a two-stage technique of programming amulti-state memory cell that stores data for two different pages: alower page and an upper page. Four states are depicted: state E (11),state A (10), state B (00) and state C (01). For state E, both pagesstore a “1.” For state A, the lower page stores a “0” and the upper pagestores a “1.” For state B, both pages store “0.” For state C, the lowerpage stores “1” and the upper page stores “0.” Note that althoughspecific bit patterns have been assigned to each of the states,different bit patterns may also be assigned. In a first programmingstage, the memory cells' threshold voltages levels are set according tothe bit to be programmed into the lower logical page. If that bit is alogic “1,” the threshold voltage is not changed since the respectivememory cell is in the appropriate state as a result of having beenearlier erased. However, if the bit to be programmed is a logic “0,” thethreshold level of the cell is increased to be state A, as shown byarrow 504. That concludes the first programming stage.

In a second programming stage, the memory cell's threshold voltage levelis set according to the bit being programmed into the upper logicalpage. If the upper logical page bit is to store a logic “1,” then noprogramming occurs since the memory cell is in one of states E or A,depending upon the programming of the lower page bit, both of whichcarry an upper page bit of “1.” If the upper page bit is to be a logic“0,” then the threshold voltage is shifted. If the first stage resultedin the memory cell remaining in the erased state E, then in the secondstage the memory cell is programmed so that the threshold voltage isincreased to be within state C, as depicted by arrow 502. If the memorycell had been programmed into state A as a result of the firstprogramming stage, then the memory cell is further programmed in thesecond stage so that the threshold voltage is increased to be withinstate B, as depicted by arrow 506. The result of the second stage is toprogram the memory cell into the state designated to store a logic “0”for the upper page without changing the data for the lower page.

In one embodiment, a system can be set up to perform full sequencewriting if enough data is written to fill up an entire page. If notenough data is written for a full page, then the programming process canprogram the lower page programming with the data received. Whensubsequent data is received, the system will then program the upperpage. In yet another embodiment, the system can start writing in themode that programs the lower page and convert to full sequenceprogramming mode if enough data is subsequently received to fill up anentire (or most of a) word line's memory cells. More details of such anembodiment are disclosed in U.S. Patent Application 2006/0126390,incorporated herein by reference in its entirety.

FIGS. 8A-C describe another multi-stage programming process forprogramming non-volatile memory. The process of FIG. 8A-C reducesfloating gate to floating gate coupling by, for any particular memorycell, writing to that particular memory cell with respect to aparticular page subsequent to writing to adjacent memory cells forprevious pages. In one example of an implementation of the processtaught by FIGS. 8A-C, the non-volatile memory cells store two bits ofdata per memory cell, using four data states. For example, assume thatstate E is the erased state and states A, B and C are the programmedstates. FIG. 9 shows one example of the relationship between states anddata stored. State E stores data 11. State A stores data 01. State Bstores data 00. State C stores data 10 This is an example of Graycoding. Other encodings of data to physical data states can also beused. Each memory cell stores two pages of data. For reference purposes,these pages of data will be called upper page and lower page; however,they can be given other labels. With reference to state A for theprocess of FIGS. 8A-C, the upper page stores data 0 and the lower pagestores data 1. With reference to state B, both pages stores data 0. Withreference to state C, the lower pages stores data 0 and the upper pagestores data 1. The programming process of FIGS. 8A-C is a two-stageprogramming process; however, the process of FIGS. 8A-C can be used toimplement a three stage process, a four stage process, etc. In the firststage, the lower page is programmed. If the lower page is to remain data1, then the memory cell state remains at state E. If the data is to beprogrammed to 0, then the threshold of voltage of the memory cell israised such that the memory cell is programmed to state B′. FIG. 8Atherefore shows the programming of memory cells from state E to stateB′. State B′ depicted in FIG. 8A is an interim state B; therefore, theverify point is depicted as Vvb', which is lower than Vvb.

In one embodiment, after a memory cell is programmed from state E tostate B′, its neighbor memory cell (on word line WLn+1) in the NANDstring will then be programmed with respect to its lower page. Afterprogramming the neighbor memory cell, the floating gate to floating gatecoupling effect may raise the apparent threshold voltage of earlierprogrammed memory cell. This will have the effect of widening thethreshold voltage distribution for state B′ to that depicted asthreshold voltage distribution 520 of FIG. 8B. This apparent widening ofthe threshold voltage distribution will be remedied when programming theupper page.

FIG. 8C depicts the process of programming the upper page. If the memorycell is in erased state E and the upper page is to remain at 1, then thememory cell will remain in state E. If the memory cell is in state E andits upper page data is to be programmed to 0, then the threshold voltageof the memory cell will be raised so that the memory cell is in state A.If the memory cell was in intermediate threshold voltage distribution520 and the upper page data is to remain at 1, then the memory cell willbe programmed to final state C. If the memory cell is in intermediatethreshold voltage distribution 520 and the upper page data is to becomedata 0, then the memory cell will be to state B. The process depicted byFIGS. 8A-C reduces the effect of floating gate to floating gate couplingbecause only the upper page programming of neighbor memory cells willhave an effect on the apparent threshold voltage of a given memory cell.

Although FIGS. 8A-C provide an example with respect to four data statesand two pages of data, the concepts taught by FIGS. 8A-C can be appliedto other implementations with more or less than four states anddifferent than two pages. More details about the programming process ofFIG. 8A-C can be found in U.S. Pat. No. 7,196,928, incorporated hereinby reference.

FIGS. 10A-D describe another multi-state programming process thatprograms memory cells connected to a common word line and can be used ina similar manner to the process of FIGS. 8A-C. The first stage of theprocess of FIGS. 10A-D includes first programming memory cells targetedfor threshold voltage distributions B and C to an intermediate thresholdvoltage distribution B′, as depicted by threshold voltage distribution530 in FIG. 10A. This first stage is then performed on an adjacent wordline, which causes the intermediate threshold voltage distribution towiden due to coupling from neighboring floating gates (see FIG. 10B).The second programming stage includes programming those memory cellsthat are targeted for threshold voltage distribution C from B′ (see FIG.10C). The third stage of the programming process includes programmingmemory cells from distribution E to distribution A and from B′ to B (seeFIG. 10D).

FIG. 11 is a flow chart describing one embodiment of a process foroperating non-volatile memory, such as the system of FIG. 3 (or othersystems). In step 600, a request to program data is received. Therequest can be from a host, another device or the controller. Therequest can be received at the controller, control circuitry, statemachine, or other device. In response to the request, the controller,control circuitry, state machine, or other device will determine whichblock of flash memory cells will be used to store the data in step 602.The data will be programmed into the determined block using any of theprogramming processes described above (or other programming processes)in step 604. The programmed data will be read one or many times in step606. There is a dashed line between steps 604 and 606 because anunpredictable amount of time may pass between the steps, and step 606 isnot performed in response to step 604. Rather, step 606 is performed inresponse to a request to read the data or other event.

FIG. 12 is a flow chart describing a programming process for programmingmemory cells in a block. The process of FIG. 12 is one embodiment ofstep 604 of FIG. 11. In step 632, memory cells are erased (in blocks orother units) prior to programming. Memory cells are erased in oneembodiment by raising the p-well to an erase voltage (e.g., 20 volts)for a sufficient period of time and grounding the word lines of aselected block while the source and bit lines are floating. A strongelectric field is, thus, applied to the tunnel oxide layers of selectedmemory cells and the selected memory cells are erased as electrons ofthe floating gates are emitted to the substrate side, typically byFowler-Nordheim tunneling mechanism. As electrons are transferred fromthe floating gate to the p-well region, the threshold voltage of theselected memory cells is lowered. Erasing can be performed on the entirememory array, on individual blocks, or another unit of cells. Othertechniques for erasing can also be used. In step 634, soft programmingis performed to narrow the threshold voltage distribution of the erasedmemory cells. Some memory cells may be in a deeper erased state thannecessary as a result of the erase process. Soft programming can applyprogramming pulses to move the threshold voltage of the deeper erasedmemory cells to a higher threshold voltage that is still in a validrange for the erased state. In step 636, the memory cells of the blockare programmed as described herein. The process of FIG. 12 can beperformed at the direction of the state machine, controller orcombination of state machine and controller, using the various circuitsdescribed above. For example, the controller may issue commands and datato the state machine to program the data. In response, the state machinemay operate the circuits described above to carry out the programmingoperations.

FIG. 13 is a flow chart describing one embodiment of a process forperforming programming on memory cells connected to a common word line.The process of FIG. 13 can be performed one or multiple times duringstep 636 of FIG. 12. For example, the process of FIG. 13 can be used toprogram memory cells (e.g., full sequence programming) from state Edirectly to any of states A, B or C. Alternatively, the process of FIG.13 can be used to perform one or each of the stages of the process ofFIG. 7, FIGS. 8A-C, FIGS. 10A-D, or other programming schemes. Forexample, when performing the process of FIGS. 8A-C, the process of FIG.13 is used to implement the first stage that includes programming someof the memory cells from state E to state B′. The process of FIG. 13 canthen be used again to implement the second stage that includesprogramming some of the memory cells from state E to state A from stateB′ to states B and C.

In step 768 of FIG. 13, the current temperature is sensed usingtemperature sensor 228. That temperature reading is stored in the memoryarray or other non-volatile storage. In some embodiments, thetemperature reading is immediately sent to controller 244 for storage bythe controller. In some implementations, the temperature can be sensedby a sensor that is not on the memory circuit (e.g., on controller, onhost, or other location).

Typically, the program voltage applied to the control gate during aprogram operation is applied as a series of program pulses. Betweenprogramming pulses are a set of one or more verify pulses to performverification. In many implementations, the magnitude of the programpulses is increased with each successive pulse by a predetermined stepsize. In step 770 of FIG. 13, the programming voltage (Vpgm) isinitialized to the starting magnitude (e.g., ˜12-16V or another suitablelevel) and a program counter PC maintained by state machine 222 isinitialized at 1.

In step 772, a program pulse of the program signal Vpgm is applied tothe selected word line (the word line selected for programming). In oneembodiment, the group of memory cells being programmed are all connectedto the same word line (the selected word line). The unselected wordlines receive one or more boosting voltages (e.g., ˜9 volts) to performboosting schemes known in the art. In one embodiment, if a memory cellshould be programmed, then the corresponding bit line is grounded. Onthe other hand, if the memory cell should remain at its currentthreshold voltage, then the corresponding bit line is connected to Vddto inhibit programming. In step 772, the program pulse is concurrentlyapplied to all memory cells connected to the selected word line so thatall of the memory cells connected to the selected word line areprogrammed concurrently. That is, they are programmed at the same time(or during overlapping times). In this manner all of the memory cellsconnected to the selected word line will concurrently have theirthreshold voltage change, unless they have been locked out fromprogramming. In step 774, the appropriate memory cells are verifiedusing the appropriate set of target levels to perform one or more verifyoperations. If a memory cell is verified to have reached its target, itis locked out from further programming. One embodiment for locking out amemory cell from further programming is to raise the corresponding bitline voltage to, for example, Vdd.

In step 776, it is determined whether all the memory cells have reachedtheir target threshold voltages. If so, the programming process iscomplete and successful because all selected memory cells wereprogrammed and verified to their target states. A status of “PASS” isreported in step 778. If, in 776, it is determined that not all of thememory cells have reached their target threshold voltages, then theprogramming process continues to step 780.

In step 780, the system counts the number of memory cells that have notyet reached their respective target threshold voltage distribution. Thatis, the system counts the number of cells that have failed the verifyprocess. This counting can be done by the state machine, the controller,or other logic. In one implementation, each of the sense block 300 (seeFIG. 3) will store the status (pass/fail) of their respective cells.These values can be counted using a digital counter. As described above,many of the sense blocks have an output signal that is wire-Or'dtogether. Thus, checking one line can indicate that no cells of a largegroup of cells have failed verify. By appropriately organizing the linesbeing wired-Or together (e.g., a binary tree-like structure), a binarysearch method can be used to determine the number of cells that havefailed. In such a manner, if a small number of cells failed, thecounting is completed rapidly. If a large number of cells failed, thecounting takes a longer time. More information can be found in UnitedStates Patent Publication 2008/0126676, incorporated herein by referencein its entirety. In another alternative, each of the sense amplifierscan output an analog voltage or current if its corresponding memory cellhas failed and an analog voltage or current summing circuit can be usedto count the number of memory cells that have failed.

In one embodiment, there is one total counted, which reflects the totalnumber of memory cells currently being programmed that have failed thelast verify step. In another embodiment, separate counts are kept foreach data state.

In step 782, it is determined whether the count from step 780 is lessthan or equal to a predetermined limit. In one embodiment, thepredetermined limit is the number of bits that can be corrected by ECCduring a read process for the page of memory cells. If the number offailed cells is less than or equal to the predetermined limit, than theprogramming process can stop and a status of “PASS” is reported in step778. In this situation, enough memory cells programmed correctly suchthat the few remaining memory cells that have not been completelyprogrammed can be corrected using ECC during the read process. In someembodiments, step 780 will count the number of failed cells for eachsector, each target data state or other unit, and those counts willindividually or collectively be compared to a threshold in step 782.

In another embodiment, the predetermined limit can be less than thenumber of bits that can be corrected by ECC during a read process toallow for future errors. When programming less than all of the memorycells for a page, or comparing a count for only one data state (or lessthan all states), than the predetermined limit can be a portion(pro-rata or not pro-rata) of the number of bits that can be correctedby ECC during a read process for the page of memory cells. In someembodiments, the limit is not predetermined. Instead, it changes basedon the number of errors already counted for the page, the number ofprogram-erase cycles performed, temperature or other criteria.

If the number of failed cells is not less than the predetermined limit,than the programming process continues at step 784 and the programcounter PC is checked against the program limit value (PL). One exampleof a program limit value is 20; however, other values can be used. Ifthe program counter PC is not less than the program limit value PL, thenthe program process is considered to have failed and a status of FAIL isreported in step 788. If the program counter PC is less than the programlimit value PL, then the process continues at step 786 during which timethe Program Counter PC is incremented by 1 and the program voltage Vpgmis stepped up to the next magnitude. For example, the next pulse willhave a magnitude greater than the previous pulse by a step size (e.g., astep size of 0.1-0.4 volts). After step 786, the process loops back tostep 772 and another program pulse is applied to the selected word line.

During verify operations (e.g., step 774) and read operations, theselected word line is connected to a voltage, a level of which isspecified for each read operation (e.g., Vra, Vrb, and Vrc) or verifyoperation (e.g. Vva, Vvb, and Vvc) in order to determine whether athreshold voltage of the concerned memory cell has reached such level.After applying the word line voltage, the conduction current of thememory cell is measured to determine whether the memory cell turned onin response to the voltage applied to the word line. If the conductioncurrent is measured to be greater than a certain value, then it isassumed that the memory cell turned on and the voltage applied to theword line is greater than the threshold voltage of the memory cell. Ifthe conduction current is not measured to be greater than the certainvalue, then it is assumed that the memory cell did not turn on and thevoltage applied to the word line is not greater than the thresholdvoltage of the memory cell.

There are many ways to measure the conduction current of a memory cellduring a read or verify operation. In one example, the conductioncurrent of a memory cell is measured by the rate it discharges orcharges a dedicated capacitor in the sense amplifier. In anotherexample, the conduction current of the selected memory cell allows (orfails to allow) the NAND string that includes the memory cell todischarge a corresponding bit line. The voltage on the bit line ismeasured after a period of time to see whether it has been discharged ornot. Note that the technology described herein can be used withdifferent methods known in the art for verifying/reading. Moreinformation about verifying/reading can be found in the following patentdocuments that are incorporated herein by reference in their entirety:(1) United States Patent Application Pub. No. 2004/0057287; (2) UnitedStates Patent Application Pub No. 2004/0109357; (3) U.S. PatentApplication Pub. No. 2005/0169082; and (4) U.S. Patent Application Pub.No. 2006/0221692. The erase, read and verify operations described aboveare performed according to techniques known in the art. Thus, many ofthe details explained can be varied by one skilled in the art. Othererase, read and verify techniques known in the art can also be used.

After completing programming, the memory cells will be in one or morethreshold voltage distributions, as depicted by FIGS. 6-10. At thispoint, the data is available to be read. In many cases, the data can beread at a time significantly subsequent to the time when it isprogrammed. In some instances, the temperature of the memory systemduring programming may not be the same as the temperature whileperforming a read operation. This change in temperature can affectperformance, including introducing errors into the read operation.

It is well known that integrated circuits will perform differently indifferent temperature ranges. Prior memory systems do compensate fortemperature by adjusting read/verify compare levels, bit line currents,sense amps, control gate voltages on select gates, and body biasconditions based on temperature.

It has been observed that read processes can fail when there is asignificant temperature change between the time of programming and thetime of reading. When temperature increases, threshold voltagedistributions tend to shift downward. It is also observed that higherstates (e.g. C state) will shift downward more than lower states (e.g. Astate).

With memory systems that position the data states close to each other,or even overlapping, the above-described counter measures fortemperature changes may not do a good enough job to account for thethreshold voltage distributions widening in response to temperaturedifferentials between programming and read time.

The inventors have observed that one explanation for the variouswidening of the threshold voltages in response to temperatures changesbetween the time programming was performed and the time reading wasperformed is due to the effect on a target memory cell provided byneighboring memory cells. That is, the data state of the neighboringmemory cell will have an effect on the TCO of a target memory cell.Neighboring memory cells, which affect a target memory cell, includememory cells next to the target memory cell on the same word line ornext to the target memory cell on the same bit line. Additionally, aneighboring memory cell can also be diagonal to the target memory cell(e.g. over one bit line and over one word line).

Therefore, it is proposed that the memory system make a decision toprovide temperature compensation based on the difference in temperaturebetween the time memory was programmed and the time memory is read. Thetemperature compensation provided will take into account temperaturedata and the data state of the neighboring memory cells.

FIG. 14 is a flow chart describing a read process that performstemperature compensation based on temperature data and the data state ofthe neighboring memory cells. The process of FIG. 14 can be performed inresponse to a request from a host to read data or as part of theinternal process for reading data. In step 800 of FIG. 14, the systemwill determine temperature data. In one embodiment, the system will takea reading of the current temperature. In one embodiment, there is atemperature sensor in communication with controller 244, state machine222, or other circuits. In another embodiment, temperature sensor 228,on the memory chip, is used to provide temperature data to state machine222, controller 244, or another circuit. In another embodiment,controller 244 includes an onboard temperature sensor. In anotherembodiment, the host will provide temperature data to controller 244. Nospecific means for obtaining the current temperature is required. Step800 can also include obtaining historical temperature data, includingthe temperature of the memory system when the data was programmed. Instep 802, the system will determine and apply appropriate temperaturecompensation. Step 802 is a standard temperature compensation known inthe art. For example, read compare levels, sense currents, senseamplifier performance, and other operating conditions can be changedbased on the current temperature or the difference between the currenttemperature and the temperature that existed when programming the data.The temperature compensation determined and applied in step 802 does nottake into account neighbor state information.

In step 804, the system will obtain the neighbor state information. Forexample, looking back at FIG. 4, assume that a target memory cell to beread is memory cell 312. Two examples of neighbor memory cells on thesame word line are memory cells 314 and 316. Neighbor cells in the samebit line can also be neighbor memory cells. Step 804 of FIG. 14 includesdetermining the state (e.g. E, A, B or C) of memory cells 314 and/or 316(as well as other memory cells that are on the same bit line as memorycell 312). In step 806, the system will determine additional temperaturecompensation that is based on the neighbor state information obtained instep 804 as well as temperature data. More details of step 806 areprovided below. In step 808, the temperature compensation determined instep 806 is applied to the read process in step 808. More details ofstep 808 are provided below. In step 810, the target memory cell issensed using a read operation that includes the compensation discussedabove in step 802, 806 and 808. In step 812, the data sensed in thetarget memory cell is reported. An example of step 812 includesreporting the data to controller 244, reporting the data from controller244 to the host, or otherwise displaying the data to a user. Note thatthe order of steps can be changed from that order depicted in FIG. 14.Many of the steps can be performed in a different order or can beperformed concurrently. For example, the two sets of temperaturecompensation (step 802 and step 808) can be performed before the sensingof the target memory cell(s), during the sensing of the target memorycell(s) or after the sensing of the target memory cell(s) of step 810.Additionally, the two types of temperature compensation can be combinedor only the compensation of step 808 can be used (omitting thecompensation of step 802).

FIG. 15 is a flow chart describing one example embodiment of the processof FIG. 14. In this example, controller 244 will make a decision toprovide temperature compensation based on the temperature differencebetween the time of programming and the time of reading. If thecontroller determines that temperature compensation is necessary, theamount of compensation will be based on the data state of the neighborsof the target memory cell. In some embodiments, the temperaturecompensation is also based on the temperature difference betweenprogramming and reading or the current temperature. In the examplediscussed below with respect to FIG. 15, the temperature is sensed bytemperature sensor 228 in memory chip 212, and the compensation isprovided at the direction of controller 244. However, in otherembodiments, the process of FIG. 15 can be used in an implementationwhere the temperature is not measured on the memory chip, but ismeasured by some other component in the memory system or anothercomponent outside the memory system, to compensate for the temperaturedependent mechanisms. For example, in a system that uses a solid statedisk drive (SSD) that uses flash memory or other non-volatile storage tostore data, temperature may be available from the host or othercomponent external to the SSD. The controller of the SSD could use thattemperature information to compensate for the temperature effect, asdisclosed herein. It does not matter where the temperature informationcomes from. By using the neighbor data state to provide additionaltemperature compensation, the memory system can account for widening andshift of threshold voltages due to differences in temperature betweenthe time data was programmed and data was read in order to preventand/or correct errors.

In step 850 of FIG. 15, controller 244 receives a request to read datafrom the host. In one embodiment step 850 is not performed and theprocess of FIG. 15 is performed as part of an internal reading process(e.g. for leveling, garbage collection, etc.). In step 852, controller244 requests temperature data from temperature sensor 228. In oneembodiment, controller 244 communicates this request to state machine222 or another portion of control circuitry 220, which will obtain thetemperature data from temperature sensor 228. In step 854, memory chip212 will sense the current temperature using temperature sensor 228. Instep 856, the temperature data is transferred to controller 244 fromcontrol circuitry 220. In step 858, controller 244 determines whether toadjust any of the read (or other operational) parameters based on thecurrent temperature. If so, the adjustments to the read parameters aremade in step 860 based on the current temperature.

The adjustments made in step 860 are those known in the art, such aschanging read compare levels, sense currents, operation of the senseamplifier, body bias conditions, etc. Another example of an adjustmentcan be to perform a scan of all the memory cells on a word line (orother unit of memory cells) to obtain data that approximates the entirethreshold voltage distribution for the entire population of memory cellsbeing scanned. From those distributions, the system can identify minimumpoints between maximum points. Those minimum points are used toestablish new read compare levels. In some embodiments, steps 852 to 860can be performed automatically by memory 212.

After step 860, controller 244 will obtain temperature data from thetime that the data being read was first programmed. In some embodiments,the temperature information during programming may be obtained as partof the sense operations of 868, if the programming temperature is forexample stored in extra cells on the same word line. If in step 858controller 244 determined not to adjust the parameters, then the processskips step 860 and proceeds directly to step 862 to obtain temperaturedata from the time of programming. In one embodiment, temperature sensor228 will store the temperature data from programming and otheroperations in memory 200 or another nonvolatile storage device. In step862, controller 244 can identify the data being read, and controlcircuitry 220 will obtain the previously stored temperature data forthat associated with when the data was programmed. That temperatureinformation is sent to controller 244 as part of step 862.

In step 864, controller 244 will adjust read (or other operational)parameters based on the change in temperature. For example, in step 856,controller 244 received the current temperature. In step 862, controller244 receives the temperature at the time of programming. Thus, bysubtracting the two temperatures (e.g., current−previous), controller244 knows the temperature difference between the time of programming andthe time of reading (assuming now is the time of reading). If thattemperature difference is greater than a threshold, then controller 244may determine to provide temperature compensation in step 866 based onthe temperature (e.g., current temperature or temperature difference)The compensation provided in step 866 is temperature compensation thatis not based on neighbor state data. Rather, it is traditionaltemperature compensation.

Note that, if in step 864, controller 244 determines not to provide thetemperature compensation, then the process will skip step 866 andproceed directly to step 868. In step 868, the controller 244 will causeone or more sense operations to be performed on the target memory cells.

The read request of step 850 likely will request data from multiplememory cells; for example, all (or subset of) memory cells on a wordline or all (or subset of) memory cells connected to multiple wordlines. Various sensing operations are performed to obtain initial setsof data for the target memory cells. Step 868 also includes performingthe sensing operations for neighbor memory cells for the target memorycells. In one embodiment, when the neighbor memory cells are thosememory cells on the same word line, then performing a sense operationfor all memory cells in the same word line (which obtains the data forthe target memory cells), also obtains the data for the neighbor memorycells. In some cases, this set of target memory cells may also includeneighbor memory cells for each of the target memory cells. In someembodiments, the data sensed in step 868 is initial data which has notbeen adjusted for the temperature compensation discussed below. In someembodiments, the temperature information during programming may beobtained as part of the sense operations of 868, if the programmingtemperature is, for example, stored in extra memory cells on the sameword line.

In step 870, that initial information from the sensing operation istransferred from the memory chip 212 to controller 244. In step 872, thecontroller determines the final data read using temperature compensationthat is based on neighbor state information and/or temperatureinformation. More details of step 872 are provided below. In step 874,controller 244 reports the data (see step 812 of FIG. 14). Note that inthe above discussion of FIG. 15, temperature compensation is performedthree times: step 860, step 866 and step 872. In other embodiments,temperature compensation is only performed one time (step 872) or twotimes (step 872 and either step 860 or step 866).

As mentioned above, the data programmed and read can have errors. To fixthese errors, the system uses an ECC process that encodes the data witherror correction codes during programming and decodes the data during aread process. FIG. 16 depicts a system for encoding and decoding datafor non-volatile storage that can be used in accordance with oneembodiment. Error correction controls are employed to detect and correctreadings of erroneous or corrupted data in the non-volatile memoryarray. Generally speaking, some additional ECC or parity bits arecalculated from the input data and stored in the memory array accordingto an encoding scheme. When reading, the input data and ECC bits areboth read, and a decoder uses both to detect whether errors are presentand in some cases, in which bit(s) the errors occur.

The error correction control system of FIG. 16 can be implemented aspart of controller 244 in one embodiment, although different systems andarchitectures can be used. The system of FIG. 16 includes an encoder880, non-volatile storage 882 (e.g., the memory array 200), LLR(logarithmic likelihood ratio) tables 884 and a decoder 886. The encoder880 receives user data, also referred to as information bits, that is tobe stored in non-volatile storage 882. The informational bits arerepresented by the matrix i=[1 0] (note that two bits are used forexample purposes only, and many embodiments have code words longer thantwo bits). The encoder 802 implements an error correction coding processin which parity bits are added to the informational bits to provide datarepresented by the matrix or code word v=[1 0 1 0], indicating that twoparity bits have been appended to the data bits. Other techniques, suchas those discussed hereinafter, can be used that map input data tooutput data in more complex manners. Low density parity check (LDPC)codes, also referred to as Gallager codes, can be used. In practice,such codes are typically applied to multiple pages encoded across anumber of storage elements. Further information regarding LDPCs can befound in D. MacKay, Information Theory, Inference and LearningAlgorithms, Cambridge University Press 2003, chapter 47. The data bitscan then be mapped to a logical page and stored in the non-volatilestorage 882 by programming each non-volatile storage element in a set ofnon-volatile storage elements to one or more programmed states.Typically, the code words have a large number of bits and stored acrossmany memory cells. A subset of the bits of a code word would be storedin a particular memory cell.

In one possible implementation, an iterative ‘message passing’ decodingprocess is used which implements error correction decoding employing theredundancy bits provided by the encoding implemented at the encoder 880.Further details regarding iterative message passing decoding can befound in the above-mentioned D. MacKay text. The iterative probabilisticmessage passing decoding attempts to decode a code word by assigninginitial probability metrics to each bit in the code word. Theprobability metrics indicate a reliability of each bit, that is, howlikely it is that the bit is not in error. In one approach, theprobability metrics are logarithmic likelihood ratios LLRs which areobtained from LLR tables 884. LLR values are measures of the reliabilitywith which the values of various binary bits read from the storageelements are known.

In one embodiment the LLR for a bit is given by

${Q = {\log_{2}\frac{P\left( {v = {0Y}} \right)}{P\left( {v = {1Y}} \right)}}},$

where P(v=0|Y) is the probability that a bit is a 0 given the conditionthat the state read is Y, and P(v=1|Y) is the probability that a bit isa 1 given the condition that the state read is Y. Thus, an LLR>0indicates a bit is more likely a 0 than a 1, while an LLR<0 indicates abit is more likely a 1 than a 0. Further, a greater magnitude indicatesa greater probability or increased reliability. Thus, a bit with anLLR=63 is more likely to be a 0 than a bit with an LLR=5, and a bit withan LLR=−63 is more likely to be a 1 than a bit with an LLR=−5. LLR=0indicates the bit is equally likely to be a 0 or a 1.

An LLR value can be provided for each of the bit positions in acodeword. Further, the LLR tables can account for the multiple readresults so that an LLR of greater magnitude is used when the bit is morelikely to hold either ‘0’ or ‘1’ with respect to the voltage level readfrom the non volatile memory when taking under consideration the mappingbetween bit sequences and programmed states of the non volatile memory.

The decoder 886 receives the LLRs and iterates in successive iterationsin which it determines if the parity checks representing the code havebeen satisfied. If all parity checks have been satisfied, the decodingprocess has converged and a code word has been reconstructed. If one ormore parity checks have not been satisfied, the decoder will adjust theLLRs of one or more of the bits which are inconsistent with a paritycheck and then reapply the parity check or next check in the process todetermine if it has been satisfied. For example, the magnitude and/orpolarity of the LLRs can be adjusted. If the parity check in question isstill not satisfied, the LLR can be adjusted again during anotheriteration. Adjusting the LLRs can result in flipping a bit (e.g., from 0to 1 or from 1 to 0) in some, but not all, cases. In one embodiment,another parity check is applied to the code word, if applicable, oncethe parity check in question has been satisfied. In others, the processmoves to the next parity check, looping back to the failed check at alater time. The process continues in an attempt to satisfy all paritychecks. Thus, the decoding process of Y1 is completed to obtain thedecoded information including parity bits v and the decoded informationbits i.

FIG. 17 depicts an example LRR table having an initial LLR values foreach bit position of the different states for a device storing two bitsof data per memory cell, in four states (where |M35|>|M2|). The two bitsstored in each memory cell are referred to as a lower bit and an upperbit. A positive LLR value indicates a logical 0 for the correspondingbit and a negative LLR indicates a logical 1 for the corresponding bit.A greater magnitude indicates a greater reliability or probability withrespect to the bit being in that logical state. The LLR table of FIG. 17is for an example set of data in the case of a uniform distribution ofstates over the voltage window, Gaussian noise and grey-coded datacorresponding with the coding in FIG. 9.

As mentioned previously, the memory stores data which representsinformational bits and parity bits (or ECC bits), where the parity bitsare provided according to an error correction code. The parity bitsdefine a codeword together with the information bits. In one possibleapproach, a low density parity check (LDPC) code may be used. Inpractice, such codes are typically applied to a large number of bitswhich are encoded across a number of storage elements (i.e., not everycell stores parity bits, the check being distributed across multiplecells). LDPC codes are desirable because they incur a relatively lowoverhead cost. Moreover, LDPC codes exhibit a performance near theShannon limit under iterative message-passing decoding algorithms.However, this is an example implementation only, as any types of errorcorrection code can be used as well. For example, other linear blockcodes may be used.

An LDPC code is a linear block code which is characterized by a sparseparity check matrix. The matrix includes K information bits and M paritybits, and the code length is N=K+M. Further, the parity bits are definedsuch that M parity check equations are satisfied, where each row of thematrix represents a parity check equation. In particular, the rows ofthe matrix are identified by check nodes and the columns are identifiedby variables, which indicate the data that is stored in the storageelements, e.g., the code word bits. This data includes information bitsi and parity bits p, based on the equation:

${{H \cdot \overset{\_}{v}} = {{H \cdot \left\lbrack \frac{\overset{\_}{i}}{\overset{\_}{p}} \right\rbrack} = 0}},$

where H is the sparse parity check matrix, v is the data vector, i isthe information bits vector and p is the parity bits vector. The parityvector p can be determined by solving the above equation. Further, thiscan be done efficiently using a Gaussian elimination procedure if theright hand side of matrix H is lower triangular.

The decoding process for LDPC is an iterative probabilistic decodingprocess known as iterative message passing decoding. Various messagepassing decoding algorithms are know in the art. A common such algorithmis the belief propagation algorithm. In one embodiment the iterationsinvolves serially traversing the check nodes and updating the LLR valuesof the bits involved based on each parity check. In one approach, anattempt is made to satisfy the first parity check of the parity checkmatrix. Once that parity check is satisfied, an attempt is made tosatisfy the second parity check, and so forth. Note that once a bit'ssign is flipped then a parity check which was previously satisfied canfail once the flip is done. The LLR's are modified until all checks aresatisfied in a manner known to those skilled in the art. Note that thefamily of iterative decoding algorithms includes the group of messagepassing decoding algorithms which in turn includes the beliefpropagation decoding algorithm.

FIG. 18 is a flow chart describing one embodiment of a process for thecontroller 244 to determine data using temperature compensation that isbased on neighbor state information and/or temperature information (step872 of FIG. 15). The process of FIG. 18 uses the iterative probabilisticdecoding process discussed above. In step 902, controller 244 (oranother entity) will assign a reliability measure (e.g., probability fora bit to be 0 or 1)) for each memory cell. If a cell represents 2, 3, ormore bits, the controller assigns several reliability measures to eachcell. That measure is dependent on two factors: the noise model (e.g.the probability of programming one state and reading another state) andthe mapping of bits to states. In other embodiments, step 902 can alsobe based on simulation, experimentation, or past performance. In oneexample implementation, controller 244 will access the appropriate LLRtable (see FIG. 17). The LRR table can be created prior tomanufacturing, after post-manufacturing testing or dynamically duringoperation of the memory system. Based on the initial informationreceived from the sensing operation (step 868), controller 244 willassign the appropriate reliability from the LLR table for each memorycell or for each bit read.

In step 904, controller 244 will identify a temperature offset for eachmemory cell. This temperature offset at step 904 is based on temperaturedifferential only; for example, the temperature offset at step 904 canbe based on the difference between the temperature at the time ofprogramming and the temperature at the time of reading. In oneembodiment, the offset is a multiplier. In another embodiment, theoffset can be a constant that is added. For example, controller 244 canmaintain a table that has an entry for each temperature differentialvalue (or set of values) to indicate what the offset should be. In oneimplementation, the table will have a set of ranges of temperaturedifferentials and an offset for each range. Step 904 will include usingthe temperature differential to identify the appropriate offset. In oneembodiment, a temperature offset is provided for each memory cell. Oncethe memory cell's temperature offset is accounted for, the impact of thetemperature compensation can be computed separately to each of the bitsstored by that memory cell.

In step 906, controller 244 will identify a temperature offset based onthe neighbor state for each target memory cell. As explained above,controller 244 will have the initial sense information for each memorycell including the target memory cell and neighbor memory cell for eachtarget. In one embodiment, controller 244 will cause all memory cellsconnected to a word line to be read. Therefore, if every target memorycell on the word line (which in one case is all memory cells connectedto the word line) the neighbor memory cells on the word line will alsohave their data received by the controller 244. Based on the data in oneor both neighbors (or more than two neighbors if taking into accountsame bit line or diagonal neighbors), controller 244 can identify anoffset. The offset can be a multiplier or a constant that is added, asdiscussed above (using tables or other data structure).

In step 908, a composite temperature compensation value is created foreach memory cell (or in some embodiments, each bit). For each targetmemory cell (or for each bit read) the composite temperaturecompensation includes the temperature offset based on temperature only(step 904) adjusted by the temperature offset based on neighbor datastate (step 906). For example, if the offset from step 904 is amultiplier (X1) and the offset from step 906 is a second multiplier(X2), then the composite temperature compensation can be a product ofthe two multipliers, which is equal to (X1)*(X2). In step 910, for eachtarget memory cell (or each bit read), the appropriate probability valuefrom the LLR table is adjusted based on the composite temperaturecompensation. For example, a multiplier is multiplied by the value fromthe LLR table or a constant is added to the value in the LLR table. Instep 912, the ECC decoding procedure is performed (see step 886 of FIG.16). The result of the ECC process 912 is to converge to a code word.When the probability that the identified code word is different from theprogrammed codeword is small then the decoder reconstructs the actualprogrammed data. In step 916, that data is reported by controller 244 tothe host. In some embodiments, if the number of errors in the data islarger than the decoder's correction capability the decoder will faileven with if the number of iterations and probabilities adjustments islarge.

FIG. 18 shows the ECC decoding process 912 including steps 920, 922, 924and 926. In step 920, the data is decoded based on the current set ofprobabilities. In step 922, if the decoded data matches a legal codeword, then the process is successful and the data is reported in step916. If the decoded data from step 920 does not match the allowed codewords (step 924), then the probabilities need to be adjusted in step 926and the process loops back to step 920 to try to decode the data again.Before adjusting the probabilities, the system tests whether the loop ofsteps 920-926 is performed more than a maximum number of times (max). Ifso, the process has failed (step 930). If not, then the probabilitiesneed to be adjusted in step 926. One embodiment of step 926 includesadjusting the magnitudes of the probabilities. Another embodiment ofstep 926 includes adjusting the sign of the probabilities. In yetanother embodiment, the magnitude and the sign can be adjusted. Thereare various methods for adjusting the magnitude or signs. In oneembodiment, the one or more probability values closest to zero will havetheir signs flipped and magnitudes changed. The process of step 912 isan iterative process using the teachings of LDCP codes discussed aboveand known in the art.

In the discussion above, the initial sensing of the target memory cellsincludes using the read compare levels Vra, Vrb and Vrc (see FIG. 6). Inanother embodiment, additional read compare levels can be used to sensewith greater resolutions. For example, FIG. 19 shows overlappingthreshold voltage distributions with read compare levels Vra, Vrb1,Vrb2, Vrb3, Vrc1, Vrc2 and Vrc3. By reading each of those read comparelevels, a more accurate probability can be assigned to the variousinitial data set. For example, if a memory cell has a threshold voltagebetween Vra and Vrb1, then that memory cell has a threshold voltage inthe range R1. A memory cell in range R1 has a high probability of beingin state A. If the memory cell has a threshold voltage greater than Vrb1and less than Vrb2, then the threshold voltage of that memory cell is inrange R2. A memory cell with a threshold voltage in range R2 has a lowerprobability of being in state A and a similarly lower probability ofbeing in state B. If a memory cell has a threshold voltage greater thanVrb2 and less than Vrb3, then the threshold voltage is in range R3. Amemory cell with a threshold voltage in range R3 has a lower probabilityof being in state B and even a lower probability of being in state A.The probability of being in state B for memory cells in range R2 issmaller than the probability of memory cells in range R3 to be in stateB. If a memory cell has a threshold voltage greater than Vrb3 and lessthan Vrc1, then that threshold voltage is in range R4. Memory cells thathave a threshold voltage in range R4 have a high probability of being instate B. If a memory cell has a threshold voltage greater than Vrc1 andless than Vrc2, then that memory cell has a threshold voltage in rangeR5. A memory cell having a threshold voltage in range R5 has a lowerprobability of being in state B and even a lower probability of being instate C. If the memory cell has a threshold voltage greater than Vrc2and less than Vrc3, then that threshold voltage is in range R6. A memorycell with a threshold voltage in range R6 has a lower probability ofbeing in state C and yet even a lower probability of being in state B.If the memory cell has a threshold voltage greater than Vrc3, then thatmemory cell is in range R7. A memory cell with a threshold voltage inrange R7 has a high probability of being in state C. Note that state Eis not shown in FIG. 19. However, if the memory cell has a thresholdvoltage less than Vra, then it is range RO and has a high probability ofbeing in state E.

FIG. 20 is an LLR table indicating the reliability measures (LLR's) perbit for being in each of the threshold voltage ranges of FIG. 19. TheLLR table of FIG. 20 assumes two bits are stored per memory cell. In theexample LLR table of FIG. 20, the magnitudes M1 to M5 satisfy|M5|>|M4|>|M3|>|M2|>|M1|. Each of the magnitudes in the table indicatesthe log likelihood ratio of that bit being 0 or 1. With a negative signindicating the LLR of the bit to be a 1 and with a positive signindicating the LLR of that bit to be 0.

One embodiment includes the process of FIG. 15 and FIG. 18 (step 872 ofFIG. 15) using the read compare levels of FIG. 19 and the LLR table ofFIG. 20. When performing the sense operation (see step 868), the memorychip would perform read compare levels at Vra, Vrb1, Vrb2, Vrb3, Vrc1,Vrc2, and Vrc3 to identify which range (R0, R1 . . . R7) the memory cellis in. This data is referred to as soft information. This softinformation is then transmitted to controller 244. Controller 244 willthen identify the initial probability in step 902 of FIG. 18 using theLLR table of FIG. 20. The values in the LLR table of FIG. 20 would thenbe adjusted in step 910 based on the combination of temperatureinformation and neighbor data state information (steps 904 and 906), asexplained above.

In one embodiment, each voltage range is mapped to a sequence of bitsidentifying it for the controller. That sequence includes more than twobits. Usually the first two bits in that sequence are the hard bits,e.g. they represent the sign of the bit in the lower page and the signof the bit in the upper page, while the rest of the bits in the sequenceare the soft bits. However, in another mapping, simply a sequence ofbits representing each threshold and the information regarding the signof each of the bits can only be found in the LLR table. When there aremore than four ranges, then the identified voltage represents softinformation. Hard bits and soft bits refer to the case that within therepresenting sequence or mapping, the system can directly identify thestored bits (SB) which are equivalent to the hard bits (HB) in themapping while the rest of the bits in the sequence are the soft bits. Itcan be shown that using a gray mapping improves the capacity of the celle.g. it results for the optimal correction capability under BICM (BitInterleaved Code Modulation) scheme while it is sufficient that the HBare gray while the SB representation does not matter.

Another embodiment for providing temperature compensation based onneighbor data state information includes using the temperaturedifferential ΔT between the temperature at reading and the temperatureat programming to determine whether to provide neighbor data stateinformation or not. For example, steps 904-910 of FIG. 18 are replacedby steps 980, 982 and 984 of FIG. 21. Subsequent to steps 982 or 984,the process will continue at step 912 of FIG. 18. In step 980, thesystem will determine whether the ΔT is greater than some thresholdconstant K. If ΔT is not greater than the constant K, then nocompensation is provided (step 982). If, however, ΔT is greater than theconstant K, then compensation is provided in step 984 based on the datastate of the neighbor. U.S. Published Patent Application No.2009/0080259, “Post-Facto Correction for Cross Coupling in a FlashMemory,” published Mar. 26, 2009, disclosed a method for reading datafrom nonvolatile storage elements in which data stored in a memory cellis estimated based on the measurements and on respective extents towhich neighbors disturb the reading of the target memory cells. Step 984of FIG. 21 can be performed by implementing the process of publishedapplication U.S. 2009/0080259.

In another set of embodiments, temperature compensation (taking intoaccount neighbor data state) can be used to adjust read compare levelsfor the read process. FIGS. 22 and 23 are flow charts describing twoimplementations of change in the read compare values based ontemperature compensation (that is adjusted based on neighbor datastate). The process of FIG. 22 includes taking into account the neighbordata state for other memory cells along the same word line and providesthe compensation after the step of sensing. The process of FIG. 23 cantake into account neighbor data states on the same word line or the samebit line and provides the compensation before the sensing.

In step 1000 of FIG. 22, the controller receives a request to read data.In step 1002, controller 244 requests temperature data from the memorychip, as described above. In step 1004, the memory chip will sensetemperature information (e.g., using temperature sensor 228), asdescribed above. In step 1006, the current temperature data sensed instep 1004 and historic temperature data (the temperature data from thetime of programming the data to be read) is transferred to controller244. In step 1008, controller 244 determines whether ΔT (the differencebetween the current temperature and the temperature taken at the timethat the data was programmed) is greater than some constant K. If ΔT isnot greater than K, then in step 1020 a sense operation is performed atthe standard compare levels (e.g., Vra, Vrb and Vrc). In step 1022, thedata sensed is transferred to controller 244. In step 1024, thecontroller will determine the final data using any of the methods knownin the art. In one embodiment, standard ECC decoding can be used. Inanother embodiment, an iterative ECC process can be used, as describedabove, or as otherwise known in the prior art. In step 1026, the data isreported to the host.

If, in step 1008, controller 244 determines that ΔT is greater than theconstant K, then in step 1030 sense operations are performed at multiplecompare levels for each data state. For example, the read operation canbe performed at the standard compare levels and a set of one or morecompare levels greater than the standard compare level and a set of oneor more compare levels below the standard compare level. In oneembodiment, three read operations between each pair of states can beperformed at, for example, Vra, Vra+0.2v, Vra−0.2v, Vrb, Vrb+0.2v,Vrb−0.2,v Vrc, Vrc+0.2v and Vrc−0.2v. In other embodiments, more comparelevels can be used and increments other than +/−0.2 can be used. In step1032, the data is transferred to controller 244. In one embodiment, theresults of each sensing operation can be transferred. In step 1034,controller 244 will choose the appropriate set of data to use for eachmemory cell based on a combination of temperature difference(temperature difference between temperature at the time of programmingand temperature at the time of reading) and the data state of one ormore of the neighbor memory cells. A function can be created that takesinto account the temperature difference (temperature difference betweentemperature at the time of programming and temperature at the time ofreading) and whether the neighbor(s) is/are in state E, A, B or C toidentify which of the various read operations to use the data from. Inanother embodiment, a set of one or more tables can be set up withinformation for each combination of temperature difference (temperaturedifference between temperature at the time of programming andtemperature at the time of reading) and the neighbor memory cells datastate. After step 1034, the data is reported in step 1026. Note that theprocess of FIG. 22 described above is performed by controller 244. Inanother embodiment, the process of FIG. 22 can be performed by statemachine 222. By performing the process in the state machine, the systemwill save time from transferring data from multiple sense operations tocontroller 244.

FIG. 23 is a flow chart describing another embodiment for adjusting readcompare values based on temperature compensation that takes into accountneighbor state information. In the process of FIG. 23, the compensationis provided prior to the sense operations. In step 1100 of FIG. 23,temperature is sensed, as described above. In step 1102, the temperaturedata for the time of programming is accessed. If ΔT (the differencebetween the current temperature and the temperature at the time ofprogramming) is greater than a constant K, then data is accessed fromthe neighbor memory cells in step 1106. In one embodiment, the systemcan actively read the neighbor memory cells. In another embodiment, thesystem will have previously performed and saved the results of a senseoperation for a word line of memory cells, block of memory cells, etc.In another embodiment, neighbor memory cells may have been previouslyread and stored for other operations. In step 1108, adjustments are madeto the read compare levels based on the neighbor memory cells state andΔT. For example, in one embodiment, there can be one offset greater thanthe standard read compare value and one offset lower than the standardread compare value, resulting in a total of three read compare levelsbetween each pair of states For example, Vra, Vra+0.2v, Vra−0.2v, Vrb,Vrb+0.2v, Vrb−0.2,v Vrc, Vrc+0.2v and Vrc−0.2v can be used. In anotherembodiment, more than one offsets can be used. In another embodiment,one offset greater than the standard read compare value and one offsetlower than the standard read compare value can be used while not readingat the standard read compare voltage, resulting in a total of two readcompare levels between each pair of states. A function can be set upwhich identifies which of the multiple read compare values to use basedon ΔT and the data states of one or more neighbors. Alternatively, a setof tables can be set up to choose which of the read compare values basedon the combination of ΔT and data state of one or more neighbors. Instep 1110, sense operations are performed using the new read comparevalues. In one embodiment, different memory cells will utilize differentread compare levels. Therefore, multiple sense operations will beperformed for each state at all the compare levels necessary for thedifferent memory cells. However, for any one memory cell, data will onlybe stored for the associated read compare level identified in step 1108.In step 1112, the data is reported to the host or controller or otherentities. Note that in step 1104, if ΔT was not determined to be greaterthan the constant K, the process skips steps 1106 and 1108 and proceedsdirectly to step 1110 to perform the sense operations at the originalcompare values.

Note that a neighbor's state information can be used to adjust othercompensations in addition to temperature difference compensation. Forexample, neighboring cell dependent threshold voltage shifts due tofloating gates or floating gate coupling, programming cell datadependent program disturb, as well as other mechanisms, can also beadjusted based on the state of one or more neighbor memory cells.

In the above embodiments, when the system senses a certain difference intemperature between the temperature at the time of programming and thetemperature at the time of reading, then the system will apply extracompensation that takes into account temperature difference and the datastates of one or more neighbor memory cells. In another set ofembodiments, the system will first attempt to perform read processeswithout applying extra compensation that takes into account temperaturedifference and the data states of one or more neighbor memory cells.Such a read process may include the use of ECC (e.g., BCH or LDPCbased), with or without soft bits. If the ECC process fails (or the readprocess otherwise fails), then the system will operate in recovery mode.In recovery mode, the system will perform the read process again usingthe techniques described above to apply extra compensation that takesinto account temperature difference and the data states of one or moreneighbor memory cells.

One embodiment includes programming data into a set of non-volatilestorage elements and reading the data from the set of non-volatilestorage elements after the programming. The reading of the data includesproviding temperature compensation based on temperature information andstate information for at least one neighbor non-volatile storageelement.

One embodiment includes determining current temperature information,accessing temperature information from programming data into a targetnon-volatile storage element, determining a temperature differentialbetween the current temperature information and the temperatureinformation from programming data, determining state information for oneor more neighbor non-volatile storage elements of the targetnon-volatile storage element, determining and applying an amount oftemperature compensation for the target non-volatile storage elementbased on temperature data and the state information for the one or moreneighbor non-volatile storage elements if the temperature differentialis greater than a threshold, sensing information from the targetnon-volatile storage element, and reporting data based on the sensingand the applied temperature compensation. The temperature data caninclude current temperature, temperature differential, or othertemperature data.

One embodiment includes receiving current temperature information for aset of non-volatile storage elements, receiving programming temperatureinformation for the set of non-volatile storage elements correspondingto a temperature during a previous programming of the set ofnon-volatile storage elements, adjusting operation parameters based onat least the current temperature information, sensing initialinformation from the set of non-volatile storage elements using theoperation parameters, identifying data stored in the set of non-volatilestorage elements from the initial information using temperaturecompensation that is based on information representing states of one ormore neighbors for each of the set of non-volatile storage elements anda temperature differential between the current temperature informationand the programming temperature information, and reporting theidentified data.

One embodiment includes a set of non-volatile storage elements and oneor more managing circuits in communication with the set of non-volatilestorage elements. The one or more managing circuits read data from theset of non-volatile storage elements by providing temperaturecompensation based on temperature information and state information forat least one neighbor non-volatile storage element.

One embodiment includes a host interface, a memory circuit and acontroller circuit. The memory circuit includes a plurality ofnon-volatile storage elements, decoders, a temperature sensor and astate machine. The controller circuit is in communication with thememory circuit and the host interface. The controller circuit is incommunication with the state machine. From the memory circuit thecontroller circuit receives current temperature information from thetemperature sensor and temperature information from programming thenon-volatile storage elements. From the memory circuit the controllerreceives initial information sensed from the non-volatile storageelements. The controller determines temperature compensation based onstate information for at least one neighbor non-volatile storage elementand a temperature differential between the current temperatureinformation and the temperature information from programming thenon-volatile storage elements. The controller performs a data recoveryprocess using the initial information in combination with temperaturecompensation to identify user data stored in the non-volatile storageelements.

One embodiment includes into a set of non-volatile storage elements,means for programming data into the set of non-volatile storageelements, and means for reading the data from the set of non-volatilestorage elements after the programming. The reading of the data includesproviding temperature compensation based on temperature information andneighbor state information.

The foregoing detailed description of the invention has been presentedfor purposes of illustration and description. It is not intended to beexhaustive or to limit the invention to the precise form disclosed. Manymodifications and variations are possible in light of the aboveteaching. The described embodiments were chosen in order to best explainthe principles of the invention and its practical application to therebyenable others skilled in the art to best utilize the invention invarious embodiments and with various modifications as are suited to theparticular use contemplated. It is intended that the scope of theinvention be defined by the claims appended hereto.

1. A method for operating non-volatile storage, comprising: programmingdata into a set of non-volatile storage elements; and reading the datafrom the set of non-volatile storage elements after the programming, thereading of the data includes providing temperature compensation based ontemperature information and state information for at least one neighbornon-volatile storage element.
 2. The method of claim 1, wherein thereading the data includes: determining that a current temperaturediffers from a temperature at a time of programming the data by at leasta threshold, the providing temperature compensation based on temperatureinformation and state information for at least one neighbor non-volatilestorage element is performed in response to determining that the currenttemperature differs from the temperature at the time of programming thedata by at least the threshold.
 3. The method of claim 1, wherein thereading the data includes: determining that a temperature differentialis greater than a threshold, the temperature differential is adifference between a current temperature and a temperature at a time ofprogramming the data, the providing temperature compensation based ontemperature information and state information for at least one neighbornon-volatile storage element includes providing compensation based onstate information for at least one neighbor non-volatile storage elementand the temperature differential in response to determining that thetemperature differential is greater than the threshold.
 4. The method ofclaim 1, wherein the providing temperature compensation based ontemperature information and state information for at least one neighbornon-volatile storage element comprises: determining an initialcompensation value based on temperature; and adjusting the initialcompensation value based on the state information for at least oneneighbor non-volatile storage element.
 5. The method of claim 1, whereinthe providing temperature compensation based on temperature informationand state information for at least one neighbor non-volatile storageelement comprises: determining a compensation value based on temperatureand state information for at least one neighbor non-volatile storageelement.
 6. The method of claim 1, wherein the reading data includes:applying the temperature compensation; and sensing information from theset of non-volatile storage elements after and based on the applying thetemperature compensation.
 7. The method of claim 1, wherein the readingdata includes: sensing information from the set of non-volatile storageelements; applying the temperature compensation after the sensing; anddetermining the data based on the sensing and the applying.
 8. Themethod of claim 1, wherein the providing temperature compensation basedon temperature information and state information for at least oneneighbor non-volatile storage element comprises: adjusting read comparelevels for the reading of the data, the read compare levels are adjustedbased on temperature information and state information for at least oneneighbor non-volatile storage element.
 9. The method of claim 1, whereinthe providing temperature compensation based on temperature informationand state information for at least one neighbor non-volatile storageelement comprises: adjusting an error correction code decoding processbased on temperature information and state information for at least oneneighbor non-volatile storage element.
 10. The method of claim 1,wherein the providing temperature compensation based on temperatureinformation and state information for at least one neighbor non-volatilestorage element comprises: adjusting a LRR table for an error correctioncode decoding process based on temperature information and stateinformation for at least one neighbor non-volatile storage element. 11.The method of claim 1, wherein: the providing temperature compensationbased on temperature information and state information for at least oneneighbor non-volatile storage element is performed by a controller thatis implemented on a separate integrated circuit than the set ofnon-volatile storage elements.
 12. The method of claim 1, wherein: theproviding temperature compensation based on temperature information andstate information for at least one neighbor non-volatile storage elementis performed on an integrated circuit that includes the set ofnon-volatile storage elements.
 13. The method of claim 1, wherein thereading comprises: determining current temperature information;accessing temperature information from programming the data; determininga temperature differential between the current temperature informationand the temperature information from programming the data; determiningstate information for one or more neighbor non-volatile storageelements, with respect to one or more target non-volatile storageelements; determining that the temperature differential is greater thana threshold; applying temperature compensation for one or more targetnon-volatile storage element based on the temperature differential andthe state information for appropriate neighbor non-volatile storageelements in response to determining that the temperature differential isgreater than the threshold; sensing information from target non-volatilestorage elements; and reporting data based on the sensing and thetemperature compensation.
 14. The method of claim 1, wherein the readingcomprises: determining current temperature information; accessingtemperature information from programming the data; determining atemperature differential between the current temperature information andthe temperature information from programming the data; adjusting theread parameters based on the received current temperature information;sensing initial information from the set of non-volatile storageelements using the read operation parameters; identifying data stored inthe set of non-volatile storage elements from the initial informationusing temperature compensation that is based on the temperaturedifferential and information representing states of one or moreneighbors for the set of non-volatile storage elements; and reportingthe identified data.
 15. The method of claim 1, wherein the readingcomprises: performing read operations at multiple compare values foreach data state; and determining a probability for each bit of the databased on the read operations, temperature information and stateinformation for at least one neighbor non-volatile storage element. 16.A method for operating non-volatile storage, comprising: determiningcurrent temperature information; accessing temperature information fromprogramming data into a target non-volatile storage element; determininga temperature differential between the current temperature informationand the temperature information from programming data; determining stateinformation for one or more neighbor non-volatile storage elements ofthe target non-volatile storage element; determining and applying anamount of temperature compensation for the target non-volatile storageelement based on the state information for the one or more neighbornon-volatile storage elements and temperature data if the temperaturedifferential is greater than a threshold; sensing information from thetarget non-volatile storage element; and reporting data based on thesensing and the applied temperature compensation.
 17. The method ofclaim 16, wherein: the temperature compensation is applied to thesensing.
 18. The method of claim 16, wherein: the temperaturecompensation is applied subsequent to the sensing.
 19. The method ofclaim 16, wherein the applying an amount of temperature compensation forthe target non-volatile storage element comprises: adjusting an errorcorrection decoding process by adjusting a probability of a data bitassociated with the target non-volatile storage element based on thetemperature differential and the state information for the one or moreneighbor non-volatile storage elements.
 20. A method for operatingnon-volatile storage, comprising: receiving current temperatureinformation for a set of non-volatile storage elements; receivingprogramming temperature information for the set of non-volatile storageelements corresponding to a temperature during a previous programming ofthe set of non-volatile storage elements; adjusting one or moreoperation parameters based on at least the current temperatureinformation; sensing initial information from the set of non-volatilestorage elements using the one or more operation parameters; identifyingdata stored in the set of non-volatile storage elements from the initialinformation using temperature compensation that is based on informationrepresenting states of one or more neighbors for each of the set ofnon-volatile storage elements and a temperature differential between thecurrent temperature information and the programming temperatureinformation; and reporting the identified data.
 21. The method of claim20, wherein: the identifying data includes an error correction codedecoding process that uses information representing states of one ormore neighbors for each of the set of non-volatile storage elements andthe temperature differential.
 22. The method of claim 20, wherein theidentifying data comprises: performing read operations at multiplecompare values for each data state; and determining a probability foreach bit of the data stored in the set of non-volatile storage elementsbased on the read operations, the temperature differential and theinformation representing states of one or more neighbors for each of theset of non-volatile storage elements.
 23. A non-volatile storage system,comprising: a set of non-volatile storage elements; and one or moremanaging circuits in communication with the set of non-volatile storageelements, the one or more managing circuits read data from the set ofnon-volatile storage elements by providing temperature compensationbased on temperature information and state information for at least oneneighbor non-volatile storage element.
 24. The non-volatile storagesystem of claim 23, wherein: the one or more managing circuits determinethat a temperature differential is greater than a threshold and providethe temperature compensation based on temperature information and stateinformation for at least one neighbor non-volatile storage element inresponse to determining that the temperature differential is greaterthan the threshold, the temperature differential is a difference betweena temperature at programming the data and a temperature at reading thedata.
 25. The non-volatile storage system of claim 24, wherein: thetemperature information is the temperature differential.
 26. Thenon-volatile storage system of claim 23, wherein: the one or moremanaging circuits provided temperature compensation based on temperatureinformation and state information for at least one neighbor non-volatilestorage element by adjusting read compare levels for the reading of thedata based on temperature information and state information for at leastone neighbor non-volatile storage element.
 27. The non-volatile storagesystem of claim 23, comprises: the one or more managing circuitsprovided temperature compensation based on temperature information andstate information for at least one neighbor non-volatile storage elementby adjusting an error correction code decoding process based ontemperature information and state information for at least one neighbornon-volatile storage element.
 28. The non-volatile storage system ofclaim 23, wherein: the one or more managing circuits read data from theset of non-volatile storage elements by determining current temperatureinformation, accessing temperature information from programming thedata, determining a temperature differential between the currenttemperature information and the temperature information from programmingthe data, determining state information for one or more neighbornon-volatile storage elements, determining and applying temperaturecompensation for one or more target non-volatile storage element basedon the temperature differential and the state information forappropriate neighbor non-volatile storage elements, sensing informationfrom target non-volatile storage elements, and reporting data based onthe sensing and the temperature compensation.
 29. The non-volatilestorage system of claim 23, wherein: the one or more managing circuitsread data from the set of non-volatile storage elements by determiningcurrent temperature information, accessing temperature information fromprogramming the data, determining a temperature differential between thecurrent temperature information and the temperature information fromprogramming the data, adjusting the one or more operation parametersbased on the received current temperature information, sensing initialinformation from the set of non-volatile storage elements using the oneor more operation parameters, identifying data stored in the set ofnon-volatile storage elements from the initial information usingtemperature compensation that is based on the temperature differentialand information representing states of one or more neighbors for the setof non-volatile storage elements, and reporting the identified data. 30.The non-volatile storage system of claim 23, wherein: the one or moremanaging circuits read data from the set of non-volatile storageelements by performing read operations at multiple compare values foreach data state and determining a probability for each bit of the dataof representing a particular data value based on the read operations,temperature information and neighbor state information.
 31. Anon-volatile storage system, comprising: a host interface; a memorycircuit including a plurality of non-volatile storage elements,decoders, a temperature sensor and a state machine; and a controllercircuit that is separate from and in communication with the memorycircuit and the host interface, the controller circuit is incommunication with the state machine, from the memory circuit thecontroller circuit receives current temperature information from thetemperature sensor and temperature information from programming thenon-volatile storage elements, from the memory circuit the controllerreceives initial information sensed from the non-volatile storageelements, the controller determines temperature compensation based onstate information for at least one neighbor non-volatile storage elementand a temperature differential between the current temperatureinformation and the temperature information from programming thenon-volatile storage elements, the controller performs a data recoveryprocess using the initial information in combination with temperaturecompensation to identify user data stored in the non-volatile storageelements.
 32. The non-volatile storage system of claim 31, wherein: thedata recovery process includes the controller performing an errorcorrection code decoding process that uses the state information for atleast one neighbor non-volatile storage element and the temperaturedifferential.
 33. The non-volatile storage system of claim 1, wherein:the data recovery process includes the controller performing readoperations at multiple compare values for each data state anddetermining a probability for each bit of the data stored in theplurality of non-volatile storage elements based on the stateinformation for at least one neighbor non-volatile storage element andthe temperature differential.